Research
List of Papers and Research Projects
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach
Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu. Preprint.An SDE Framework for Adversarial Training, with Convergence and Robustness Analysis
Haotian Gu, Xin Guo. Preprint.Q-Learning for Mean-Field Controls with Convergence and Complexity Analysis
Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu. Accepted by SIAM Journal on Mathematics of Data Science. Short Version Accepted by Workshop on Theoretical Foundations of Reinforcement Learning, ICML 2020.Dynamic programming principles for learning Mean-field controls
Haotian Gu, Xin Guo, Xiaoli Wei, Renyuan Xu. Accepted by Operation Research.Error Estimates for a POD Method for Solving Viscous G-equations in Incompressible Cellular Flows
Haotian Gu, Jack Xin, Zhiwen Zhang.Accepted by SIAM Journal on Scientific Computing.Patricia Alonso-Ruiz, Yuming Chen, Haotian Gu, Robert Strichartz, Ziri Zhou.Accepted by Communications on Pure & Applied Analysis.
On Metrics and Curvatures on Complex Manifolds
2017.9 - 2017.12, Undergraduate Research ProgramSupervisor: Prof. Ngaiming Mok @ HKU